bibtype A - Abstract
ARLID 0499809
utime 20240103221337.4
mtime 20181101235959.9
title (primary) (eng) DCE-MRI Perfusion Analysis with L1-Norm Spatial Regularization
specification
page_count 4 s.
media_type P
serial
ARLID cav_un_epca*0495724
title Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts.
publisher
place Concord
name ISMRM
year 2018
keyword MRI
keyword perfusion analysis
keyword pharmacokinetic modeling
keyword spatial regularization
keyword total variation
author (primary)
ARLID cav_un_auth*0312355
name1 Bartoš
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0108377
name1 Šorel
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0355652
name1 Mangová
name2 M.
country CZ
author
ARLID cav_un_auth*0298515
name1 Rajmic
name2 P.
country CZ
author
ARLID cav_un_auth*0278224
name1 Standara
name2 M.
country CZ
author
ARLID cav_un_auth*0277120
name1 Jiřík
name2 Radovan
full_dept (cz) D3: Magnetická rezonance a Kryogenika
full_dept D3: Magnetic Resonance and Cryogenics
institution UPT-D
full_dept Magnetic Resonance and Cryogenics
fullinstit Ústav přístrojové techniky AV ČR, v. v. i.
cas_special
project
ARLID cav_un_auth*0338628
project_id GA16-13830S
agency GA ČR
country CZ
abstract (eng) DCE-MRI perfusion analysis suffers from low reliability, especially when 2. generation pharmacokinetic models are used to estimate perfusion parameter maps (voxel-by-voxel estimation) in low SNR conditions. These models provide estimates of plasma flow and capillary permeability in addition to the commonly used parameters Ktrans , k(ap). This contribution presents a method for estimation of perfusion maps using the tissue homogeneity model with incorporated spatial regularization in the form of total variation. The algorithm is based on the proximal minimization methods well established in image reconstruction problems. The use of state-of-the-art minimization and image regularization techniques stabilizes the estimates of perfusion parameter maps and keeps the computational demands low.
action
ARLID cav_un_auth*0366651
name Joint Annual Meeting ISMRM-ESMRMB 2018
dates 20180616
mrcbC20-s 20180618
place Paris
country FR
RIV FS
FORD0 20000
FORD1 20600
FORD2 20602
reportyear 2019
num_of_auth 6
mrcbC47 UTIA-B 10000 10200 10201
presentation_type PO
mrcbC55 UTIA-B JC
inst_support RVO:68081731
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0291995
mrcbC61 1
confidential S
arlyear 2018
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0495724 Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts. Concord ISMRM 2018